This worksheet can help you organize your ideas and methods for creating an effective evaluation plan.
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The Model EM&V Methods Standardized Reporting Forms were prepared by the Regional Evaluation, Measurement and Verification Forum (‘the Forum’). The Forum embarked to create a model template that supports greater transparency of program administrator/state EM&V practices used to calculate EE savings via a straightforward, standardized EM&V methods ‘check list.’ This type of document is intended to help energy and environmental policy and market players readily understand and compare EM&V approaches used to estimate reported EE program savings to inform their specific needs.
The ultimate objective of the protocol is to develop a system that can be used to guide the production of readily usable dataset that can leverage project data from future meter-based measurement and evaluation studies, or metering studies to develop end-use load shapes. The protocol includes a "NEEP Residential Data Collection Protocol Report" template.
This report presents the preliminary process and market evaluation of the Better Buildings Neighborhood Program. As part of the evaluation, the report identifies the factors most strongly correlated with the 10 most successful grantees' performance and offers recommendations to the Energy Department and grant recipients for the final program year.
Authorization form to obtain household energy information.
This sample phone survey template for program drop-outs, created by the Better Buildings Neighborhood Program, was designed for programs to find out why applicants that applied to participate in a program ultimately dropped out.
This sample phone survey template, created by the Better Buildings Neighborhood Program, was designed for programs to use with applicants who have been screened out from participating in a program.
This sample email survey template, created by the Better Buildings Neighborhood Program, was designed for programs to develop their own survey of successful program participants in order to assess customer experience.